End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: unsloth/mistral-7b-instruct-v0.2
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: ede5d1a0-546f-43e9-8879-f16e745c50f0
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.5.2`
+```yaml
+adapter: lora
+base_model: unsloth/mistral-7b-instruct-v0.2
+bf16: auto
+chat_template: llama3
+datasets:
+- data_files:
+  - f643fd0fe7e0bfb5_train_data.json
+  ds_type: json
+  format: custom
+  path: /runs/taopanda-1_cae7d918-8995-47e5-995d-5bd97d626e49/f643fd0fe7e0bfb5_train_data.json
+  preprocessing:
+  - shuffle: true
+  type:
+    field: null
+    field_input: chosen_gpt
+    field_instruction: prompt_id
+    field_output: rejected_gpt
+    field_system: null
+    format: null
+    no_input_format: null
+    system_format: '{system}'
+    system_prompt: ''
+debug: null
+deepspeed: null
+device_map: auto
+early_stopping_patience: null
+eval_max_new_tokens: 128
+eval_strategy: 'no'
+fp16: null
+gradient_accumulation_steps: 4
+gradient_checkpointing: true
+group_by_length: true
+hub_model_id: taopanda-1/ede5d1a0-546f-43e9-8879-f16e745c50f0
+learning_rate: 0.000195548260923036
+load_in_4bit: false
+load_in_8bit: false
+local_rank: null
+logging_steps: 1
+lora_alpha: 128
+lora_dropout: 0.02
+lora_fan_in_fan_out: true
+lora_model_dir: null
+lora_r: 64
+lora_target_linear: true
+lr_scheduler: cosine
+max_grad_norm: 1.0
+max_steps: 1000
+micro_batch_size: 8
+model_type: AutoModelForCausalLM
+num_epochs: 1
+optimizer: paged_adamw_8bit
+output_dir: ./outputs/lora-out/taopanda-1_cae7d918-8995-47e5-995d-5bd97d626e49
+pad_to_sequence_len: true
+resume_from_checkpoint: null
+s2_attention: null
+save_steps: 0.1
+save_total_limit: 1
+seed: 32892
+sequence_len: 1024
+strict: false
+tf32: true
+tokenizer_type: AutoTokenizer
+train_on_inputs: false
+trust_remote_code: true
+wandb_entity: fatcat87-taopanda
+wandb_mode: online
+wandb_name: taopanda-1_cae7d918-8995-47e5-995d-5bd97d626e49
+wandb_project: subnet56
+wandb_runid: taopanda-1_cae7d918-8995-47e5-995d-5bd97d626e49
+warmup_ratio: 0.1
+weight_decay: 0.05
+xformers_attention: null
+
+```
+
+</details><br>
+
+# ede5d1a0-546f-43e9-8879-f16e745c50f0
+
+This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.2](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2) on the None dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.000195548260923036
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 32892
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 48
+- training_steps: 482
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_model.bin

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